{"id":"W2093678527","doi":"10.3138/cmlr.66.2.233","title":"Content-Based Instruction: What Can We Learn from Content-Trained Teachers’ and Language-Trained Teachers’ Pedagogies?","year":2009,"lang":"en","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Content (measure theory); Mathematics education; Language acquisition; Function (biology); Computer science; Pedagogy; Psychology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008803358,0.0005031439,0.00103374,0.002003694,0.003127125,0.007578644,0.002408027,0.001923311,0.002199995],"category_scores_gemma":[0.01741321,0.0003126558,0.0003508829,0.001636424,0.005686317,0.007807321,0.003811265,0.002096171,0.0006184982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009334568,"about_ca_system_score_gemma":0.01971808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02636714,"about_ca_topic_score_gemma":0.04240411,"domain_scores_codex":[0.9948798,0.002890222,0.0001312867,0.0003773142,0.001170395,0.000550871],"domain_scores_gemma":[0.9924157,0.004712357,0.0004378231,0.000458572,0.0009881849,0.0009873024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008804917,0.001357514,0.01985277,0.002606316,0.000074136,0.0005412514,0.2891558,0.0002841357,0.00155156,0.04508496,0.008583941,0.6308196],"study_design_scores_gemma":[0.0003261225,0.001456827,0.08085153,0.00951123,0.0002589598,0.00142103,0.5227253,0.001119377,0.00541171,0.06524202,0.3115256,0.0001503223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6769959,0.08781981,0.02256763,0.09129674,0.001325251,0.001341046,0.0001594906,0.0003250037,0.1181691],"genre_scores_gemma":[0.9365674,0.02673662,0.02044128,0.004381259,0.000210539,0.0008150423,0.0001260633,0.00005400601,0.01066774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02636714,"threshold_uncertainty_score":0.06772733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04921620070621707,"score_gpt":0.2424386287316886,"score_spread":0.1932224280254715,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}